期刊
ISA TRANSACTIONS
卷 49, 期 2, 页码 235-243出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2010.01.001
关键词
Neural network; Statistical analysis; Temperature control; Run-out table cooling
资金
- European Community [RFS-CR-03038]
This paper presents a mathematical model developed by means of an analytical function whose shape depends on the values of a few parameters for the run-out table cooling which is used in hot strip mills. The system relies on a first-order differential equation for describing the temperature loss along the run-out table. Neural networks have been applied in order to find correlations between the model parameters and the steel and process variables. Then, traditional statistical techniques have been applied in order to evaluate the stability of the cooling behaviour. Numerical results obtained on an industrial database are presented and discussed. (C) 2010 ISA. Published by Elsevier Ltd. All rights reserved.
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